activity
20132026
most citedH-Index Manipulation by Merging Articles: Models, Theory, and Experiments

30 citations · 100 across the 41 of their papers we have counts for

collaborators

55 papers

cs.CC2026

The Influence of Agent Models on the Complexity of Bus Routing

Eva Deltl, Christian Komusiewicz, Jurek Rostalsky +2

In bus routing, the task is to plan a bus route in a network with several agents, each of whom wants to travel from a starting point to a destination. A bus route should account fo…

cs.DS2026

Clustering with Locally Bounded Ignorance

Jaroslav Garvardt, Christian Komusiewicz

In Correlation Clustering, the input is a graph with weight function and the task is to partition the vertex set into clusters such that the total…

cs.DS2026

Parameterized Local Search for Vertex Cover: When only the Search Radius is Crucial

Christian Komusiewicz, Nils Morawietz

A vertex set in a graph is a valid -swap for a vertex cover of if has size at most and , the symmetric differenc…

cs.CC2026

On the Hardness of Finding Temporally Connected Subgraphs of Any Size

Arnaud Casteigts, Christian Komusiewicz, Nils Morawietz

Temporal graphs are graphs whose edges are present only at certain points in time. Reachability in these graphs is defined via temporal paths, in which edges are traversed in incre…

cs.LO2026

The Descriptive Complexity of Relation Modification Problems

Florian Chudigiewitsch, Marlene Gründel, Christian Komusiewicz +2

A relation modification problem gets a logical structure and a natural number k as input and asks whether k modifications of the structure suffice to make it satisfy a predefined p…

cs.CC2026

A Parameterized-Complexity Framework for Finding Local Optima

Robert Ganian, Hung P. Hoang, Christian Komusiewicz +1

Local search is a fundamental optimization technique that is both widely used in practice and deeply studied in theory, yet its computational complexity remains poorly understood.…

cs.DS2025

A Complexity Analysis of the c-Closed Vertex Deletion Problem

Lisa Lehner, Christian Komusiewicz, Luca Pascal Staus

A graph is -closed when every pair of nonadjacent vertices has at most common neighbors. In -Closed Vertex Deletion, the input is a graph and an integer and we…

cs.DS2025

Timeline Problems in Temporal Graphs: Vertex Cover vs. Dominating Set

Anton Herrmann, Christian Komusiewicz, Nils Morawietz +1

A temporal graph is a finite sequence of graphs, called snapshots, over the same vertex set. Many temporal graph problems turn out to be much more difficult than their static count…

cs.CC2025

The Parameter Report: An Orientation Guide for Data-Driven Parameterization

Christian Komusiewicz, Nils Morawietz, Frank Sommer +1

A strength of parameterized algorithmics is that each problem can be parameterized by an essentially inexhaustible set of parameters. Usually, the choice of the considered paramete…

cs.DM2025

Polynomial-Size Enumeration Kernelizations for Long Path Enumeration

Christian Komusiewicz, Diptapriyo Majumdar, Frank Sommer

Enumeration kernelization for parameterized enumeration problems was defined by Creignou et al. [Theory Comput. Syst. 2017] and was later refined by Golovach et al. [J. Comput. Sys…

cs.DS2024

Witty: An Efficient Solver for Computing Minimum-Size Decision Trees

Luca Pascal Staus, Christian Komusiewicz, Frank Sommer +1

Decision trees are a classic model for summarizing and classifying data. To enhance interpretability and generalization properties, it has been proposed to favor small decision tre…

cs.CC2024

Parameterized Local Search for Max -Cut

Jaroslav Garvardt, Niels Grüttemeier, Christian Komusiewicz +1

In the NP-hard Max -Cut problem, one is given an undirected edge-weighted graph and aims to color the vertices of with colors such that the total weight of edges wit…

cs.CC2024

Maximizing Phylogenetic Diversity under Ecological Constraints: A Parameterized Complexity Study

Christian Komusiewicz, Jannik Schestag

In the NP-hard Optimizing PD with Dependencies (PDD) problem, the input consists of a phylogenetic tree over a set of taxa , a food-web that describes the prey-predator rela…

cs.DS2024

On the Complexity of Community-aware Network Sparsification

Emanuel Herrendorf, Christian Komusiewicz, Nils Morawietz +1

Network sparsification is the task of reducing the number of edges of a given graph while preserving some crucial graph property. In community-aware network sparsification, the pre…

cs.DS2023★ 1 cited

A Multivariate Complexity Analysis of the Generalized Noah's Ark Problem

Christian Komusiewicz, Jannik Schestag

In the Generalized Noah's Ark Problem, one is given a phylogenetic tree on a set of species X and a set of conservation projects for each species. Each project comes with a cost an…

cs.LG2023★ 1 cited

On Computing Optimal Tree Ensembles

Christian Komusiewicz, Pascal Kunz, Frank Sommer +1

Random forests and, more generally, (decision\nobreakdash-)tree ensembles are widely used methods for classification and regression. Recent algorithmic advances allow to compute de…

cs.DS2023

Exact and Heuristic Approaches to Speeding Up the MSM Time Series Distance Computation

Jana Holznigenkemper, Christian Komusiewicz, Bernhard Seeger

The computation of the distance of two time series is time-consuming for any elastic distance function that accounts for misalignments. Among those functions, DTW is the most promi…

cs.DS2022★ 1 cited

Efficient Branch-and-Bound Algorithms for Finding Triangle-Constrained 2-Clubs

Niels Grüttemeier, Philipp Heinrich Keßler, Christian Komusiewicz +1

In the Vertex Triangle 2-Club problem, we are given an undirected graph and aim to find a maximum-vertex subgraph of that has diameter at most 2 and in which every vertex i…

cs.DS2022

On Computing Exact Means of Time Series Using the Move-Split-Merge Metric

Jana Holznigenkemper, Christian Komusiewicz, Bernhard Seeger

Computing an accurate mean of a set of time series is a critical task in applications like nearest-neighbor classification and clustering of time series. While there are many dista…

cs.DS2022★ 1 cited

Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings

Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz

In Bayesian Network Structure Learning (BNSL), one is given a variable set and parent scores for each variable and aims to compute a DAG, called Bayesian network, that maximizes th…

cs.DS2022

The Parameterized Complexity of s-Club with Triangle and Seed Constraints

Jaroslav Garvardt, Christian Komusiewicz, Frank Sommer

The s-Club problem asks, for a given undirected graph , whether contains a vertex set of size at least such that , the subgraph of induced by , has diam…

cs.DS2022

Covering Many (or Few) Edges with k Vertices in Sparse Graphs

Tomohiro Koana, Christian Komusiewicz, André Nichterlein +1

We study the following two fixed-cardinality optimization problems (a maximization and a minimization variant). For a fixed between zero and one we are given a graph and two nu…

cs.DS2021

Preventing Small -Cuts by Protecting Edges

Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz +1

We introduce and study Weighted Min -Cut Prevention, where we are given a graph with vertices and and an edge cost function and the aim is to choose an edg…

cs.DS2021

On the Parameterized Complexity of Polytree Learning

Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz

A Bayesian network is a directed acyclic graph that represents statistical dependencies between variables of a joint probability distribution. A fundamental task in data science is…